Robert A. Beckman

5.5k citations
113 papers · 3.7k indexed · h-index 33

Impact in

Papers in

Robert A. Beckman

111 papers receiving 3.6k citations

Peers

Robert A. Beckman
Comparison fields: 5 of 162
  • Statistics and Probability 371
  • Cancer Research 662
  • Oncology 787
  • Molecular Biology 1.8k
  • Modeling and Simulation 112
Replace Udai Banerji with:
Udai Banerji United Kingdom
S. Percy Ivy United States
Robert J. Jones United Kingdom
Gabriel Helmlinger United States
Paul J. Smith United Kingdom
Manish Kohli United States
Philippe L. Bédard Canada
Thomas G. Roberts United States
Douglas M. Potter United States
Jochen Walz France
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Citations per field
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Citations per year

Countries citing papers authored by Robert A. Beckman

Since Specialization
Citations

This map shows the geographic impact of Robert A. Beckman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Robert A. Beckman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert A. Beckman more than expected).

Fields of papers citing papers by Robert A. Beckman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert A. Beckman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Robert A. Beckman. The network helps show where Robert A. Beckman may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Robert A. Beckman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert A. Beckman Line = papers co-authored together Robert A. Beckman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20241
4 20234
5 20239
6 20235
7 202322
8 20223
9 202160
10 20207
11 202099
12 201937
13 201814
14 201614
15 20159
16 201374
17 201313
18
Readiness, Behavior, and Foundational Mathematics Course Success
20133
19 201260
20 199515

About Robert A. Beckman

Robert A. Beckman is a scholar working on Statistics and Probability, Cancer Research, Modeling and Simulation, Oncology and Economics and Econometrics, having authored 113 papers that have together received 3.7k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (28 papers), Cancer Genomics and Diagnostics (27 papers), Health Systems, Economic Evaluations, Quality of Life (19 papers), HER2/EGFR in Cancer Research (13 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Lung Cancer Treatments and Mutations (10 papers), Colorectal Cancer Treatments and Studies (8 papers) and Evolution and Genetic Dynamics (8 papers). The work is most often cited by research in Statistics and Probability (371 citations), Cancer Research (662 citations), Oncology (787 citations), Molecular Biology (1.8k citations) and Modeling and Simulation (112 citations). Robert A. Beckman has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Lawrence A. Loeb, James R. Heath, Cong Chen, Hugh M. Davis, Louis M. Weiner, Albert S. Mildvan, Sophia N. Yaliraki, Mauricio Barahona, Michael Diehl and Jason H. Bielas. Their work appears in journals such as Journal of Clinical Oncology, Statistics in Biopharmaceutical Research, Clinical Cancer Research, Journal of Biological Chemistry and Statistical Methods in Medical Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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